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» A Methodology for Guided Behavioral-Level Optimization
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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
13 years 12 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
TACAS
2010
Springer
251views Algorithms» more  TACAS 2010»
13 years 10 months ago
Approximating the Pareto Front of Multi-criteria Optimization Problems
We propose a general methodology for approximating the Pareto front of multi-criteria optimization problems. Our search-based methodology consists of submitting queries to a constr...
Julien Legriel, Colas Le Guernic, Scott Cotton, Od...
IJAIT
2002
81views more  IJAIT 2002»
13 years 5 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos
ISCA
2000
IEEE
111views Hardware» more  ISCA 2000»
13 years 9 months ago
HLS: combining statistical and symbolic simulation to guide microprocessor designs
As microprocessors continue to evolve, many optimizations reach a point of diminishing returns. We introduce HLS, a hybrid processor simulator which uses statistical models and sy...
Mark Oskin, Frederic T. Chong, Matthew K. Farrens
CORR
2010
Springer
112views Education» more  CORR 2010»
13 years 5 months ago
Colour Guided Colour Image Steganography
Information security has become a cause of concern because of the electronic eavesdropping. Capacity, robustness and invisibility are important parameters in information hiding and...
R. Amirtharajan, Sandeep Kumar Behera, Motamarri A...